Improvement of performance in freezing of gait detection in Parkinson's disease using transformer networks and a single waist-worn triaxial accelerometer

Freezing of gait (FOG) is one of the most incapacitating symptoms in Parkinson's disease, affecting more than 50% of patients in advanced stages of the disease. The presence of FOG may lead to falls and a loss of independence with a consequent reduction in the quality of life. Wearable technolo...

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Detalhes bibliográficos
Autor principal: Sigcha, Luis (author)
Outros Autores: Borzi, Luigi (author), Pavon, Ignacio (author), Costa, Nélson Bruno Martins Marques da (author), Costa, Susana Raquel Pinto (author), Arezes, P. (author), Manuel Lopez, Juan (author), De Arcas, Guillermo (author)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
Freezing of gait
Parkinson?s disease
Wearable sensors
Machine learning
Deep learning
Convolutional neural networks
Transformers
Sequence analysis
Science & Technology
Texto completo:https://hdl.handle.net/1822/81050
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/81050

Texto Completo

https://hdl.handle.net/1822/81050

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